Locating Data in (Small-World?) Peer-to-Peer Scientific Collaborations
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Probabilistic Reliable Dissemination in Large-Scale Systems
IEEE Transactions on Parallel and Distributed Systems
PlanetP: Using Gossiping to Build Content Addressable Peer-to-Peer Information Sharing Communities
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Semantic Small World: An Overlay Network for Peer-to-Peer Search
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
P2P Architecture for Scientific Collaboration
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Search strategies for scientific collaboration networks
Proceedings of the 2005 ACM workshop on Information retrieval in peer-to-peer networks
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Diverse peer selection in collaborative web search
Proceedings of the 2009 ACM symposium on Applied Computing
Searching dynamic communities with personal indexes
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Community based ranking in peer-to-peer networks
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Bridging the gap: complex networks meet information and knowledge management
Proceedings of the 18th ACM conference on Information and knowledge management
Gossiping for resource discovering: An analysis based on complex network theory
Future Generation Computer Systems
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Given a set of peers with overlapping interests where each peer wishes to keep track of new documents that are relevant to their interests, we propose a self-organizing peer-to-peer document-tracking network based on common interest profiles. The goal of a document-tracking network is to disseminate new documents as they are published. Peers collaboratively share new documents of interest with other peers. There is no explicit profile exchange between peers and no global information available. We describe a strategy for peers to discover the existence of other peers and learn about their interests locally, based on information carried in the document metadata that propagates through the network. Peers are connected based on their observed common interests. We compare our proposed common interest strategy with a randomly connected network. The experimental results, based on simulated environment using the ACM digital library metadata, demonstrate that the proposed strategy gives the best dissemination performance. We also demonstrate that our self-organizing networks follow the characteristics of social networks.